Consensus on a video analysis framework of descriptors and definitions by the Rugby Union Video Analysis Consensus group.

Using an expert consensus-based approach, a rugby union Video Analysis Consensus (RUVAC) group was formed to develop a framework for video analysis research in rugby union. The aim of the framework is to improve the consistency of video analysis work in rugby union and help enhance the overall quality of future research in the sport. To reach consensus, a systematic review and Delphi method study design was used. After a systematic search of the literature, 17 articles were used to develop the final framework that described and defined key actions and events in rugby union (rugby). Thereafter, a group of researchers and practitioners with experience and expertise in rugby video analysis formed the RUVAC group. Each member of the group examined the framework of descriptors and definitions and rated their level of agreement on a 5-point agreement Likert scale (1: strongly disagree; 2: disagree; 3: neither agree or disagree; 4: agree; 5: strongly agree). The mean rating of agreement on the five-point scale (1: strongly disagree; 5: strongly agree) was 4.6 (4.3-4.9), 4.6 (4.4-4.9), 4.7 (4.5-4.9), 4.8 (4.6-5.0) and 4.8 (4.6-5.0) for the tackle, ruck, scrum, line-out and maul, respectively. The RUVAC group recommends using this consensus as the starting framework when conducting rugby video analysis research. Which variables to use (if not all) depends on the objectives of the study. Furthermore, the intention of this consensus is to help integrate video data with other data (eg, injury surveillance).

Integrated Microarray-based Tools for Detection of Genomic DNA Damage and Repair Mechanisms.

The genetic information contained within the DNA molecule is highly susceptible to chemical and physical insult, caused by both endogenous and exogenous sources that can generate in the order of thousands of lesions a day in each of our cells (Lindahl, Nature 362(6422):709-715, 1993). DNA damages interfere with DNA metabolic processes such as transcription and replication and can be potent inhibitors of cell division and gene expression. To combat these regular threats to genome stability, a host of DNA repair mechanisms have evolved. When DNA lesions are left unrepaired due to defects in the repair pathway, mutations can arise that may alter the genetic information of the cell. DNA repair is thus fundamental to genome stability and defects in all the major repair pathways can lead to cancer predisposition. Therefore, the ability to accurately measure DNA damage at a genomic scale and determine the level, position, and rates of removal by DNA repair can contribute greatly to our understanding of how DNA repair in chromatin is organized throughout the genome. For this reason, we developed the 3D-DIP-Chip protocol described in this chapter. Conducting such measurements has potential applications in a variety of other fields, such as genotoxicity testing and cancer treatment using DNA damage inducing chemotherapy. Being able to detect and measure genomic DNA damage and repair patterns in individuals following treatment with chemotherapy could enable personalized medicine by predicting response to therapy.